Anova is one the most important topics in statistics. The word ANOVA is the abbreviation of **analysis of variance**. In general, Anova is the collection of statistical methods that are used for analyzing the means of groups as well as other associated procedures such as variance. The main purpose of Anova is to test the significant
differences between means of groups.

It is named as Anova because it is the analysis of means. In order
to do that, the researcher actually tests the significant differences of variances because mean is the square
root of variance. Variance is calculated as the sum of the squared
deviations from the mean divided by sample size minus one.

If comparison between two means is performed, Anova produces same results as **t-test** does for **independent samples**.

If two different groups of observations are to be performed, then Anova produces same results as **t-test** does for **dependent samples**.**Classes of Anova Models****There are three classes of models of Anova described below:**

**Fixed-effect models,**used when treatments are fixed.**Random-effect models,**used when treatments are not fixed.**Mixed-effect models,**mixture of fixed and random model.

Types of Anova

- One-way anova
- Multivariate anova
- Repeated measures anova
- Mixed design anova

Applicability of Anova

- Anova technique is used for the prediction of precipitation behavior of materials.
- One-way Anova is used for comparisons and specification of group variables.
- It is widely applied in microbiology.
- It is quite useful in comparison of different means of business data from different populations.

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Anova Calculator | anova effect size calculator |